Training method and device of recommendation model, and recommendation method and device

A training method and model technology, applied in computing equipment and computer-readable storage media, recommended model training method and device, recommendation method and device field, can solve the problem of insufficient use of purchase data, not necessarily high conversion rate, and high cost Manpower and other issues

Active Publication Date: 2019-07-12
ADVANCED NEW TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, some platforms simply use traditional machine learning models (such as LR or GBDT models) to recommend products based on user and APP tags when recommending products. This method of using tags for recommendation requires a lot of manpower to create tags system, and it is easy to recommend inappropriat...

Method used

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  • Training method and device of recommendation model, and recommendation method and device
  • Training method and device of recommendation model, and recommendation method and device
  • Training method and device of recommendation model, and recommendation method and device

Examples

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Embodiment Construction

[0087] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the application. However, the present application can be implemented in many other ways different from those described here, and those skilled in the art can make similar promotions without violating the connotation of the present application. Therefore, the present application is not limited by the specific implementation disclosed below.

[0088] Terms used in one or more embodiments of this specification are for the purpose of describing specific embodiments only, and are not intended to limit one or more embodiments of this specification. As used in one or more embodiments of this specification and the appended claims, the singular forms "a", "said" and "the" are also intended to include the plural forms unless the context clearly dictates otherwise. It should also be understood that the term "and / or" used in one or more embodiments of the present sp...

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PUM

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Abstract

The invention provides a training method and device of a recommendation model, and a recommendation method and device, and the training method of a recommendation model comprises the steps: obtainingthe user characteristics of at least two sample users and the attribute characteristics of at least two sample application programs; generating a positive sample which is clicked and purchased by thesample user on the exposed sample application program and a negative sample which is clicked but not purchased or unclicked by the sample user on the exposed sample application program based on the user characteristics and the attribute characteristics; and training a recommendation model on the basis of a sample set comprising at least one positive sample and at least one negative sample to obtain the recommendation model, and outputting an exposure conversion rate obtained by each sample user on the basis of the click rate and the purchase rate of each exposed sample application program by the recommendation model.

Description

technical field [0001] The present application relates to the technical field of computer distributed processing, and in particular to a recommendation model training method and device, a recommendation method and device, a computing device, and a computer-readable storage medium. Background technique [0002] In some Internet products, in order to facilitate users to quickly find the products they want (such as APP), personalized recommendations are required, and the products that users are most likely to click to buy are recommended to users to be recommended. [0003] At present, some platforms simply use traditional machine learning models (such as LR or GBDT models) to recommend products based on user and APP tags when recommending products. This method of using tags for recommendation requires a lot of manpower to create tags system, and it is easy to recommend inappropriate apps to users (for example: apps for pornography, gambling and drugs), and the traditional mach...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06K9/62
CPCG06F16/9535G06F18/214
Inventor 谢仁强
Owner ADVANCED NEW TECH CO LTD
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